Literature DB >> 21308400

X-ray diffraction and SEM study of kidney stones in Israel: quantitative analysis, crystallite size determination, and statistical characterization.

Vladimir Uvarov1, Inna Popov, Nandakishore Shapur, Tamer Abdin, Ofer N Gofrit, Dov Pode, Mordechai Duvdevani.   

Abstract

Urinary calculi have been recognized as one of the most painful medical disorders. Tenable knowledge of the phase composition of the stones is very important to elucidate an underlying etiology of the stone disease. We report here the results of quantitative X-ray diffraction phase analysis performed on 278 kidney stones from the 275 patients treated at the Department of Urology of Hadassah Hebrew University Hospital (Jerusalem, Israel). Quantification of biominerals in multicomponent samples was performed using the normalized reference intensity ratio method. According to the observed phase compositions, all the tested stones were classified into five chemical groups: oxalates (43.2%), phosphates (7.7%), urates (10.3%), cystines (2.9%), and stones composed of a mixture of different minerals (35.9%). A detailed analysis of each allocated chemical group is presented along with the crystallite size calculations for all the observed crystalline phases. The obtained results have been compared with the published data originated from different geographical regions. Morphology and spatial distribution of the phases identified in the kidney stones were studied with scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS). This type of detailed study of phase composition and structural characteristics of the kidney stones was performed in Israel for the first time.

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Year:  2011        PMID: 21308400     DOI: 10.1007/s10653-011-9374-6

Source DB:  PubMed          Journal:  Environ Geochem Health        ISSN: 0269-4042            Impact factor:   4.609


  25 in total

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  7 in total

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Authors:  Serife Yalcin; Nihat Dilsiz; Mehmet Gülüm
Journal:  Urolithiasis       Date:  2014-04-01       Impact factor: 3.436

2.  Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms.

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Journal:  Med Phys       Date:  2021-12-01       Impact factor: 4.071

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Journal:  Adv Healthc Mater       Date:  2020-12-04       Impact factor: 9.933

4.  Extraction of Biofilms From Ureteral Stents for Quantification and Cultivation-Dependent and -Independent Analyses.

Authors:  Matthias T Buhmann; Dominik Abt; Stefanie Altenried; Patrick Rupper; Patrick Betschart; Valentin Zumstein; Katharina Maniura-Weber; Qun Ren
Journal:  Front Microbiol       Date:  2018-07-10       Impact factor: 5.640

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Authors:  Parveen Kumar; Mikita Patel; Vinoy Thomas; John Knight; Ross P Holmes; Tanecia Mitchell
Journal:  Kidney Int Rep       Date:  2020-05-07

6.  Morphological characteristics and microstructure of kidney stones using synchrotron radiation μCT reveal the mechanism of crystal growth and aggregation in mixed stones.

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Journal:  PLoS One       Date:  2019-03-22       Impact factor: 3.240

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Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

  7 in total

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